Sensors for Vehicle Health Monitoring

This project will design, build, and demonstrate a prototype sensor system which will ultimately determine vehicle health, predict component and system failures, and conduct the following: - measure foreign inorganic materials in vehicle fluids - capture extreme shock events - capture a wide range of load events - measure pressure, acceleration, torque, and liquid quality - detect cracks in powertrain, chassis, and suspension components Software to rationalize the data coming from the sensors as well as multisensor data fusion algorithms will be developed, modified, and demonstrated in a prototype environment. Determination of the most appropriate multisensor data fusion algorithms for this project will be investigated. A data logger will collect discrete sensor data, Controller Area Network (CAN) J1939 and J1708 data, and transmit to the backend via wireless communications. A potential vehicle identified during Phase I for possible integration is the Family of Medium Tactical Vehicles (FMTV). Part of the project will entail determining the type of data and information to be collected for assessing vehicle health. Additionally, how best to display this data will be considered.